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基于NSGA-Ⅱ算法的平板清障车结构多目标优化

Multi-objective structure optimization of flat wrecker based on NSGA-Ⅱ algorithm

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【作者】 谢周平王龙珠朱春东金弘睿

【Author】 Xie Zhouping;Wang Longzhu;Zhu Chundong;Jin Hongrui;

【机构】 中国重汽集团湖北华威专用汽车有限公司武汉理工大学交通与物流工程学院随州武汉理工大学工业研究院

【摘要】 文中提出了一种基于NSGA-Ⅱ算法的平板清障车结构多目标优化方法,在保证清障车在实现结构轻量化的同时拥有更好的安全性能。首先在Ansys中建立有限元模型,获得了输入输出变量的参数文件,其中包括结构的优化设计样本点。然后借助Matlab平台使用NSGA-Ⅱ算法进行多目标优化,在Isight平台上对迭代过程进行监控,从托盘和托梁的Pareto解集中获得最优方案。最后与初始值进行比较,显示整车减重率为14.49%。

【Abstract】 A novel multi-objective structural optimization approach for flat wreckers, leveraging the NSGA-Ⅱ algorithm, has been developed to ensure a lightweight design while enhancing safety performance. The process began with the construction of a finite element model in Ansys, from which input and output parameter files were generated, encompassing the optimal design sample points for the structure. Subsequently, utilizing the Matlab platform, the NSGA-Ⅱ algorithm was deployed for multi-objective optimization. The iterative optimization process was overseen by the i SIGHT platform, yielding the optimal scheme from the Pareto solution sets for both the tray and joist. Ultimately, the optimized design resulted in a 14.49% reduction in the vehicle’s weight compared to the initial configuration.

  • 【文献出处】 起重运输机械 ,Hoisting and Conveying Machinery , 编辑部邮箱 ,2025年04期
  • 【分类号】U469.6
  • 【下载频次】72
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